---
title: "Disabling state streaming"
icon: "lucide/Cog"
description: "Granularly control what is streamed to the frontend."
---

## What is this?

By default, CopilotKit will stream both your messages and tool calls to the frontend when you use `copilotkit_stream`. You can disable this by choosing when to use `copilotkit_stream` vs calling `completion` directly.

## When should I use this?

Occasionally, you'll want to disable streaming temporarily — for example, the LLM may be doing something the current user should not see, like emitting tool calls or questions pertaining to other employees in an HR system.

## Implementation

### Disable all streaming

You can control whether to stream messages or tool calls by selectively wrapping calls to `completion` with `copilotkit_stream`.

<Tabs groupId="language_crewai-flows_agent" items={['Python']} default="Python" persist>
    <Tab value="Python">
        ```python
        from copilotkit.crewai import copilotkit_stream
        from typing import cast, Any
        from litellm import completion

        @start()
        async def start(self):

            # 1) Do not emit messages or tool calls, keeping the LLM call private.
            response = completion(
                model="openai/gpt-4o",
                messages=[
                    {"role": "system", "content": "You are a helpful assistant"},
                    *self.state.messages
                ],
            )
            message = response.choices[0].message

            # 2) Or wrap the LLM call with `copilotkit_stream` to stream message tokens.
            #    Note that we pass `stream=True` to the inner `completion` call.
            response = await copilotkit_stream(
                completion(
                    model="openai/gpt-4o",
                    messages=[
                        {"role": "system", "content": "You are a helpful assistant"},
                        *self.state.messages
                    ],
                    stream=True
                )
            )
            message = cast(Any, response).choices[0]["message"]
        ```
    </Tab>

</Tabs>
